• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.7
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• pp.962-970
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• 2021

The cause of the majority of vehicle accidents is a safety issue due to the driver's inattention, such as drowsy driving. A forward collision warning system (FCWS) can significantly reduce the number and severity of accidents by detecting the risk of collision with vehicles in front and providing an advanced warning signal to the driver. This paper describes a low power embedded system based FCWS for safety. The algorithm computes time to collision (TTC) through detection, tracking, distance calculation for the vehicle ahead and current vehicle speed information with a single camera. Additionally, in order to operate in real time even in a low-performance embedded system, an optimization technique in the program with high and low levels will be introduced. The system has been tested through the driving video of the vehicle in the embedded system. As a result of using the optimization technique, the execution time was about 170 times faster than that when using the previous non-optimized process.

• Journal of the Korean Society of Marine Environment & Safety
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• v.25 no.2
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• pp.151-158
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• 2019

Wireless communication technology (WAVE) for vehicles, which is the core technology behind the next-generation intelligent transport system (C-ITS), is used to deliver information about vehicles to prevent traffic accidents and traffic situations that may arise between vehicles and infrastructure. Similar traffic issues often arise in marine scenarios. Currently, AIS is being used as a means of transmitting information such as the status of relative vessels, but research is being carried out to solve problems with AIS such as overloading by applying wireless communication technology for vehicles to the sea. In this study, a collision warning system suitable for small-sized vessels was developed based on the marine application of WAVE for vehicles verified through prior research, and the adequacy of this collision warning system was reviewed through a practical test. It is expected that this system will contribute greatly to future e-Navigation applications or self-driving ships as well as to preventing marine accidents.

• Journal of Korea Water Resources Association
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• v.55 no.10
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• pp.843-854
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• 2022

For the rip current warning system to reduce rip-current accidents, the implementation method producing the risk index was modified. To produce fast response from the warning system based on real-time observations, the method employed the numerical results (i.e., rip current likelihoods according to the possible scenario) obtained in advance. In this study, instead of using the empirical curve-fitting functions of the previous method, the present modification utilized two-dimensional distributions (i.e., wave height and period, wave height and tidal elevation, wave height and direction, wave height and spreading of frequency-directional spectrum) of rip current likelihoods stacked in a database of the system. The wave and tidal observations in 2021 at the Haeundae coast were applied to the modified system, and its performances at several real events recorded in CCTV images were presented.

• Journal of Korea Multimedia Society
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• v.24 no.7
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• pp.860-867
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• 2021

Lane detection is important technology for implementing ADAS or autonomous driving. Although edge detection has been typically used for the lane detection however, false detections occur frequently. To improve this problem, a deep learning based lane detection algorithm is proposed in this paper. This algorithm is mounted on an ARM-based embedded system to implement a LDW(lane departure warning). Since the embedded environment lacks computing power, the VGG-11, a lightweight model based on VGG-13, has been proposed. In order to evaluate the performance of the LDW, the test was conducted according to the test scenario of NHTSA.

• Journal of Korean Society of Transportation
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• v.27 no.2
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• pp.207-214
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• 2009

This study proposed an advanced warning information system based on real-time traffic conflict analysis. An algorithm to detect and analyze unsafe traffic events associated with car-following and lane-changes using individual vehicle trajectories was developed. A positive guidance procedure was adopted to provide warning information to alert drivers to hazardous traffic conditions derived from the outcomes of the algorithm. In addition, autoregressive integrated moving average (ARIMA) analyses were conducted to investigate the predictability of warning information for the enhancement of information reliability.

• Proceedings of the KIEE Conference
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• 2006.07d
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• pp.1953-1955
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• 2006

500[MW]급 대용량 보일러 통풍계통의 송풍기 맥동 감시 장치는 송풍기 이상 발생시 송풍기를 보호하기 위하여 정지시키는 기능을 한다. 그러나 송풍기 맥동 감시 장치의 빈번한 고장으로 신뢰성이 저하되고 운전에 영향을 미치므로 이것을 DCS 로직으로 구성하여 신뢰성을 향상시켰다.

• Proceedings of the KAIS Fall Conference
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• 2006.05a
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• pp.236-239
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• 2006

500MW급 대용량 보일러 통풍계통의 Fan Stall 감시 장치는 Fan 이상 발생시 Fan을 보호하기 위하여 정지시키는 기능을 한다. 그러나 Fan Stall 감시 장치의 빈번한 고장으로 신뢰성이 저하되고 운전에 영향을 미치므로 이것을 DCS Logic으로 구성하여 신뢰성을 향상시켰다.

• Journal of the Korean Professional Engineers Association
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• v.38 no.1
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• pp.59-63
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• 2005

A Tsunami was generated by the magnitude 9.0 earthquake which occurred near Indonesia. An energetic Tsunami will display vertical water displacement of the order of ten meters and lateral scales of the order of tens of kilometers. The Tsunami destroyed many coastal villages in Asia. So, there are many victims in southeastern part Asia by Tsunami. Therefore, the construction of Tsunami prediction and warning system is needed for minimize the damage by seismic sea waves.

• Proceedings of the KIEE Conference
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• 2001.07d
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• pp.2434-2436
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• 2001

500MW급 대용량 보일러 통풍계통의 Fan Stall 감시장치는 Fan 이상 발생시 Fan을 보호하기 위하여 정지시키는 기능을 한다. 그러나 Fan Stall 감시장치의 빈번한 고장으로 신뢰성이 저하되고 운전에 영향을 미치므로 이것을 DCS Logic으로 구성하여 신뢰성을 향상시켰다.

• The Journal of Asian Finance, Economics and Business
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• v.4 no.1
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• pp.39-49
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• 2017

This study develops an early warning system (EWS) to prevent the banking crisis. The proposed system incorporates both the perspective of crises and fundamental characteristics of the banking system in each economy. A fuzzy logic method with data from 1990-2009 is employed to construct the EWS of banking crisis based on 21 pre-determined variables from the aspect of total economy, financial and banking sectors. Our results show: Firstly, South Korea recorded higher probability to have a banking crisis in 1997 as there was large foreign debt in dollars. Secondly, China, Australia and New Zealand banking systems appear to be vulnerable to the crisis in 2007. The surge of China export, FDIs and booming stock market were signs of a heated economy. Australia with high commodity prices was also vulnerable to crisis. Thirdly, Australia, China, Japan and New Zealand banking systems appear to be exposed to the higher chance of a crisis in 2010. Japan with deflation coupled with expensive yen did not augur well for its export. Overall, the findings show that in Asian Financial Crisis 1997/98 and Global Financial Crisis 2008/09, many economies are exposed to a higher probability of having the crisis and this shows an urgent need of having surveillance in these economies.